Research Expertise and Interest

statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning

Research Description

Ryan Tibshirani is a professor in the Department of Statistics. His research interests include high-dimensional statistics, nonparametric estimation, distribution-free inference, machine learning, convex optimization, numerical methods, tracking and forecasting epidemics.

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